Application of Quantum Computing to Machine Learning in Railway Digital Twins

Tecnun - Universidad de Navarra; Cádiz; Presencial; EUR 30.000 - 50.000; Jornada completa

Descripción de la vacante

A leading engineering school in Spain is seeking a candidate for a doctoral thesis focused on applying quantum computing to machine learning in railway digital twins. The role offers extensive training in advanced topics, flexible working conditions, and the opportunity to work on impactful research projects. Candidates should possess a Master's degree in Industrial or Mechanical Engineering and have a strong mathematical background.

Servicios

One-year contract, extendable up to four years

Training in Quantum Computing and Machine Learning

Development of scientific, professional, and personal skills

Flexible work schedule with summer mornings

23 working days of holidays plus Christmas

Formación

• Master's degree in Industrial or Mechanical Engineering or similar.
• Strong mathematical background required.
• Candidates from other engineering disciplines considered.

Responsabilidades

• Undertake a doctoral thesis on quantum computing in machine learning for railway applications.
• Analyze key algorithms and assess the impact of quantum technology.
• Transform real industrial problems into quantum computing frameworks.

Conocimientos

Proficiency in Python

Proficiency in Matlab

Knowledge of programming

Knowledge of Machine Learning

Knowledge of Deep Learning tools

Teamwork abilities

Educación

Master's Degree in Industrial Engineering

Master's Degree in Mechanical Engineering

Descripción del empleo

Application of Quantum Computing to Machine Learning in Railway Digital Twins

Join to apply for the Application of Quantum Computing to Machine Learning in Railway Digital Twins role at Tecnun - Universidad de Navarra

Job Description

The Department of Mechanical Engineering and Materials of the School of Engineering at the University of Navarra (Tecnun) is seeking a candidate to undertake a doctoral thesis focused on exploring the use of quantum computing for solving Machine Learning algorithms in the railway sector.

The project involves analyzing key applications and algorithms, such as quantum machine learning and optimization, and assessing the impact of quantum technology on the CAF group, aligned with its current and future needs.

The candidate will focus on Quantum Machine Learning due to its relevance with ongoing neural network research. The work includes transforming real industrial problems into quantum computing frameworks and solving them, likely requiring problem simplification to meet current technological limitations.

What We Offer

• A one-year contract, extendable up to four years.
• Training in :
• Quantum Computing and Quantum Machine Learning
• Neural networks for engineering problems
• Railway systems and physical modeling
• Development of scientific, professional, and personal skills.
• Work schedule : 7.75 hours / day, flexible start times (8 : 00-9 : 30), Fridays with potential for continuous hours, summer mornings (June 15 - August 31).
• Holidays : 23 working days plus Christmas (Dec 24 - Jan 2).

Qualifications

Master's Degree in Industrial Engineering, Mechanical Engineering, or similar with strong mathematical background. Candidates from other engineering disciplines are considered.

Technical Skills

• Proficiency in Python and Matlab
• Knowledge of programming, Machine Learning, and Deep Learning tools

Additional Skills

• Teamwork abilities
• Seniority level : Associate
• Employment type : Full-time
• Job function : Design and Education
• Industry : Research Services

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